Responsibilities

- Designing and developing cloud-based applications to optimize data solutions for clients
- Collaborating with product and project managers to drive efficient solutions within known constraints
- Planning and executing cloud automation strategies to enhance application performance
- Troubleshooting and testing cloud services to validate seamless deployment and functionality
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Leveraging advanced technologies and techniques to develop robust data solutions
- Building meaningful client connections and anticipating the needs of teams and clients
- Navigating complex situations to grow personal brand and deepen technical skills
- Upholding professional and technical standards in alignment with firm guidelines and code of conduct

-Design, build, and maintain cloud infrastructure across AWS (primary) and Azure, with the ability to work in multi-cloud setups.

-Develop and manage CI/CD pipelines to enable seamless, automated deployments for data and AI applications.

-Implement Infrastructure as Code (IaC) to provision and manage cloud resources consistently and repeatably.

-Monitor,



troubleshoot, and optimize cloud environments for performance, cost, and security.

-Collaborate with Data Engineers, Data Scientists, and AI/ML teams to ensure infrastructure supports their workflows (model training, data pipelines, etc

What You Must Have

- At least a Bachelor's degree
- At least 5 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Utilizing cloud applications, services, and deployment models
- Implementing cloud automation and consulting strategies
- Excelling in communication and creativity
- Demonstrating learning agility and self-awareness
- Navigating complex client relationships effectively
- Anticipating team and client needs proactively
- Upholding professional and technical standards consistently

-Multi-cloud experience required; strong preference for AWS and Azure.

-Hands-on experience supporting data platforms or AI/ML workloads is a solid plus.

-Relevant certifications (AWS Solutions Architect, Azure DevOps Engineer, CKA, Terraform Associate) are a plus but not mandatory.

📌 Devops Engineer (Hyderabad)
🏢 PwC
📍 Hyderabad